An iris matching algorithm for reliable person identification optimized level of decomposition

Author

Dalal, Sambita ; Sahoo, Tapasmini ; Bhoi, Nilamani

Author_Institution

Dept. of Electron. & Instrum. Eng., Siksha O Anusandhan Univ., Bhubaneswar, India

fYear

2012

fDate

21-22 March 2012

Firstpage

1073

Lastpage

1076

Abstract

Human iris provides a unique structure suitable for non-invasive biometric assessment. So many researchers have been trying to improve the algorithm for reliable iris recognition. This paper presents a new iris matching method to control the misclassification error. Daubechies wavelet transform is used to extract the textural features. Combining the normalized correlation of the wavelet coefficients of optimized decomposition level with existing approach, efficient matching is obtained, thus performing person identification with much ease and evidenced.

Keywords

image matching; iris recognition; wavelet transforms; Daubechies wavelet transform; human iris; iris matching algorithm; misclassification error; noninvasive biometric assessment; optimized decomposition level; person identification; reliable iris recognition; reliable person identification; Iris recognition; Reflection; Reliability; feature database; iris recognition; normalized correlation; threshold; wavelet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on

Conference_Location

Kumaracoil

Print_ISBN

978-1-4673-0211-1

Type

conf

DOI

10.1109/ICCEET.2012.6203779

Filename

6203779